ArticleBMC medical imaging2010
Texture analysis of MR images of patients with mild traumatic brain injury.
Article in BMC medical imaging, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Morphometric and Gray-Level Texture Analyses of Postmortem Injuries Using ImageJ: An Exploratory Study.Cureus · 2026Article
- Assessing subtle brain injury related to cognitive impairment in obese pediatric obstructive sleep apnea using 3D MRI texture analysis.Scientific reports · 2026Article
- 3D Texture Analysis of the Corpus Callosum in T1-Weighted MR Images of Children with a Traumatic Brain Injury.Brain topography · 2026Article
- Radiomics-based correlation analysis of fetal brain MRI features and children's neurodevelopmental outcomes in monochorionic twins.BMC pregnancy and childbirth · 2025Article
- Evaluation of CT and MRI Radiomics for an Early Assessment of Diffuse Axonal Injury in Patients with Traumatic Brain Injury Compared to Conventional Radiological Diagnosis.Clinical neuroradiology · 2025Article
- Enhanced glioma tumor detection and segmentation using modified deep learning with edge fusion and frequency features.Scientific reports · 2025Article
- Bilateral internal carotid artery hypoplasia presenting with watershed territory infarcts.Radiology case reports · 2024Article
- Spatial mapping of tumor heterogeneity in whole-body PET-CT: a feasibility study.Biomedical engineering online · 2023Article
- Influence of maternal psychological distress during COVID-19 pandemic on placental morphometry and texture.Scientific reports · 2023Article
- Combined Features in Region of Interest for Brain Tumor Segmentation.Journal of digital imaging · 2022Article
- Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning.Frontiers in neurology · 2021Article
- Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factors.European radiology · 2020Article
- Texture analysis of early cerebral tissue damage in magnetic resonance imaging of patients with lung cancer.Oncology letters · 2020Article
- A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study.Frontiers in neuroscience · 2020Article
- Prospective study of myelin water fraction changes after mild traumatic brain injury in collegiate contact sports.Journal of neurosurgery · 2019Article
- Role of texture analysis in breast MRI as a cancer biomarker: A review.Journal of magnetic resonance imaging : JMRI · 2019Review
- Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features.BioMed research international · 2019Article
- Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.Medical & biological engineering & computing · 2018Article
- Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study.BMC medical imaging · 2018Article
- Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach.Medicine · 2018Observational
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur objective was to study the effect of trauma on texture features in cerebral tissue in mild traumatic brain injury (MTBI). Our hypothesis was that a mild trauma may cause microstructural changes, which are not necessarily perceptible by visual inspection but could be detected with texture analysis (TA).
methodsWe imaged 42 MTBI patients by using 1.5 T MRI within three weeks of onset of trauma. TA was performed on the area of mesencephalon, cerebral white matter at the levels of mesencephalon, corona radiata and centrum semiovale and in different segments of corpus callosum (CC) which have been found to be sensitive to damage. The same procedure was carried out on a control group of ten healthy volunteers. Patients' TA data was compared with the TA results of the control group comparing the amount of statistically significantly differing TA parameters between the left and right sides of the cerebral tissue and comparing the most discriminative parameters.
resultsThere were statistically significant differences especially in several co-occurrence and run-length matrix based parameters between left and right side in the area of mesencephalon, in cerebral white matter at the level of corona radiata and in the segments of CC in patients. Considerably less difference was observed in the healthy controls.
conclusionsTA revealed significant changes in texture parameters of cerebral tissue between hemispheres and CC segments in TBI patients. TA may serve as a novel additional tool for detecting the conventionally invisible changes in cerebral tissue in MTBI and help the clinicians to make an early diagnosis.
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